QuickDataScience | Quick & Easy Data Science

Source: Google Images Pandas Profiling is an Open-Source Library of Python. It focuses on easing out the process of initial data analysis, by providing a tool to perform the analysis of our data Quick & Easy. It's also considered a major EDA library, creating visuals, graphs, data profiling reports, pandas reports within seconds, in just a line of code. It saves a lot of time, which is usually lost in visualizing & understanding the data. It extends the pandas data frame to create a report for Quick & Easy Data Analysis.

We had a look over the basics of EDA in our previous article  EDA - Exploratory Data Analysis . So now let's move ahead and look at how we can automate the process and the various APIs used for the same. We will be focusing on the 7 major libraries that can be used for the same. These are our personal favourites & we prefer to use them most of the time.  We will look into the libraries' & will cover the install, load, and analyse parts for each separately.  D-tale Pandas - Profiling Lux Sweetviz Autoviz ExploriPy Dora